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Progress in EEG-based brain robot interaction systems
Mao, Xiaoqian; Li, Mengfan; Li W(李伟); Niu, Linwei; Xian B(鲜斌); Zeng, Ming; Chen, Genshe
作者部门水下机器人研究室
发表期刊Computational Intelligence and Neuroscience
ISSN1687-5265
2017
卷号2017页码:1-25
收录类别SCI ; EI
EI收录号20171703612634
WOS记录号WOS:000399730900001
产权排序3
资助机构National Natural Science Foundation of China under Grant no. 61473207
摘要The most popular noninvasive Brain Robot Interaction (BRI) technology uses the electroencephalogram- (EEG-) based Brain Computer Interface (BCI), to serve as an additional communication channel, for robot control via brainwaves. This technology is promising for elderly or disabled patient assistance with daily life. The key issue of a BRI system is to identify human mental activities, by decoding brainwaves, acquired with an EEG device. Compared with other BCI applications, such as word speller, the development of these applications may be more challenging since control of robot systems via brainwaves must consider surrounding environment feedback in real-time, robot mechanical kinematics, and dynamics, as well as robot control architecture and behavior. This article reviews the major techniques needed for developing BRI systems. In this review article, we first briefly introduce the background and development of mind-controlled robot technologies. Second, we discuss the EEG-based brain signal models with respect to generating principles, evoking mechanisms, and experimental paradigms. Subsequently, we review in detail commonly used methods for decoding brain signals, namely, preprocessing, feature extraction, and feature classification, and summarize several typical application examples. Next, we describe a few BRI applications, including wheelchairs, manipulators, drones, and humanoid robots with respect to synchronous and asynchronous BCI-based techniques. Finally, we address some existing problems and challenges with future BRI techniques.
语种英语
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/20424
专题水下机器人研究室
通讯作者Li W(李伟)
作者单位1.School of Electrical Engineering and Automation, Tianjin University, Tianjin, 300072, China
2.Department of Computer and Electrical Engineering and Computer Science, California State University, Bakersfield, CA, 93311, United States
3.State Key Laboratory of Robotics, Shenyang Institute of Automation, Shenyang, Liaoning, 110016, China
4.Department of Math and Computer Science, West Virginia State University, Institute, WV, 25112, United States
5.Intelligent Fusion Technology, Inc., Germantown, MD, 20876, United States
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GB/T 7714
Mao, Xiaoqian,Li, Mengfan,Li W,et al. Progress in EEG-based brain robot interaction systems[J]. Computational Intelligence and Neuroscience,2017,2017:1-25.
APA Mao, Xiaoqian.,Li, Mengfan.,Li W.,Niu, Linwei.,Xian B.,...&Chen, Genshe.(2017).Progress in EEG-based brain robot interaction systems.Computational Intelligence and Neuroscience,2017,1-25.
MLA Mao, Xiaoqian,et al."Progress in EEG-based brain robot interaction systems".Computational Intelligence and Neuroscience 2017(2017):1-25.
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